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Abstract #0578

2D T1, T2, T2* and PDFF mapping in the kidney with rosette MRF using Hermitian low-rank and dictionary-patch based regularization

Gastao Cruz1, Evan Cummings1,2, Tom Griesler1,2, Jesse Hamilton1,2, Vikas Gulani1, Matthew Davenport1, and Nicole Seiberlich1,2
1Radiology, University of Michigan, Ann Arbor, MI, United States, 2Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States

Synopsis

Keywords: MR Fingerprinting, Kidney, MRF; low-rank;

Motivation: Subjective qualitative T2-weighted, T1-weighted (with and without contrast) and fat suppressed images are currently used to characterize renal masses. Characterization could be improved and standardized by using objective, generalizable, quantiative criteria.

Goal(s): In this work, 2D single-breathhold, high-resolution T1/T2/T2*/PDFF mapping rosette MRF is deployed for kidney tissue characterization.

Approach: A novel MRF reconstruction is introduced to enable reduced MRF data collection time, incorporating separate low-rank models along the TE and TR domains, Hermitian symmetry via virtual coils, and a dictionary-patch based regularization.

Results: In vivo results in healthy subjects demonstrate 2D 1x1x5 mm3 T1/T2/T2*/PDFF MRF kidney mapping in a single breath-hold.

Impact: Simultaneous mapping of T1/T2/T2*/PDFF in the kidney in a single high-resolution breath-hold scan via the proposed MRF approach is feasible. This technique could bolster traditional pre-/post- contrast renal mass protocols with objective characterization methods.

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Keywords